Standout Papers

Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems 2022 2026 2023 2024136
  1. Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems (2022)
    Yi Zhang, Haihua Zhu et al. Robotics and Computer-Integrated Manufacturing

Immediate Impact

16 standout
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Citing Papers

A disjunctive graph-based metaheuristic for flexible job-shop scheduling problems considering fixture shortages in customized manufacturing systems
2025 Standout
Dynamic Task Planning for Multi-Arm Harvesting Robots Under Multiple Constraints Using Deep Reinforcement Learning
2025 Standout
2 intermediate papers

Works of Yong Gui being referenced

Dynamic scheduling for flexible job shop using a deep reinforcement learning approach
2023
Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
2022 Standout

Author Peers

Author Last Decade Papers Cites
Yong Gui 253 53 4 33 9 277
Yi Zhang 212 43 9 37 16 270
Stefan Profanter 140 47 3 43 6 202
Bao An Han 197 52 6 37 9 238
Daniel Mack 235 35 5 27 15 305
Yin Wang 171 42 5 43 16 261
Shengluo Yang 253 30 10 24 11 271
Cyrille Pach 245 38 4 12 8 260
Banu Çalış Uslu 129 17 7 62 9 223
You-Lian Zheng 292 44 9 30 5 320
Sven Schulz 251 54 3 16 5 275

All Works

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Rankless by CCL
2026